NDLI: An Improvement to Affine Decomposition on Distributed Memory Architecture

Content Provider	IEEE Xplore Digital Library
Author	Ding Rui Zhao Rongcai Liu Xiaoxian
Copyright Year	2012
Abstract	Automatic decomposition is an optimization technique that distributes computation and data onto different processors. The consequence of decomposition directly affects the performance of parallel program. Since every computing node has its own memory in distributed memory parallel computers (DMPCs), false dependence does not hinder the parallelism. Affine decomposition is an effective method to represent and derive computation partition and data distribution, and its principle of adding dependence constraint is too strict to gain more parallelism. Some loop nests do not satisfy the affine condition, and are prohibited from parallelism by affine decomposition. However, if only the irregular access is caused by indirect array, loop and array reference can be partitioned at compile time. To tackle above problems of affine decomposition, an improved static decomposition algorithm of DMPCs proposed in this paper. The experimental results show that this algorithm can improve the performance of parallel programs.
Starting Page	18
Ending Page	21
File Size	180753
Page Count	4
File Format	PDF
ISBN	9781467326308
DOI	10.1109/DCABES.2012.9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automatic parallelization Program processors Distributed databases Indirect array Parallel processing Affine decomposition Vectors False dependence Arrays Indexes Equations
Content Type	Text
Resource Type	Article

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